I am interested in the foundations of causal inference and its potential to provide novel insights in neuroimaging.
We were the first to provide a comprehensive set of causal interpretation rules for encoding and decoding models in neuroimaging studies (see our NeuroImage publication and this explainer video (5 min)).

Causal interpretation rules for encoding and decoding models in neuroimaging

Causal interpretation rules for encoding and decoding models in neuroimaging
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S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, M Grosse-Wentrup
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NeuroImage, Volume 110, 2015
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We provide a set of rules which causal statements are warranted and which ones are not supported by empirical evidence. Especially, only encoding models in the stimulus-based setting support unambiguous causal interpretations. By combining encoding and decoding models, however, we obtain insights into causal relations beyond those that are implied by each individual model type.

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems